Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A4243B1A048A93702A3A2D2A377171FB5D48347D69B5722A3F8D3DE0FD6C94EC2611D |
|
CONTENT
ssdeep
|
192:g/8r3d3Q3ldd+0rjL9MQFJQrb7JBHL4Na2ENaivE/XvytY:g/8r3d3Q31PJQgb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
923a92f3436c6d69 |
|
VISUAL
aHash
|
0c3e18007c3c3c3c |
|
VISUAL
dHash
|
7868f050c8e4c4c4 |
|
VISUAL
wHash
|
1c3e3c007c7c7c3e |
|
VISUAL
colorHash
|
30003600000 |
|
VISUAL
cropResistant
|
7868f050c8e4c4c4 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.